as.raster.cimg | R Documentation |
raster objects are used by R's base graphics for plotting. R wants hexadecimal RGB values for plotting, e.g. gray(0) yields #000000, meaning black. If you want to control precisely how numerical values are turned into colours for plotting, you need to specify a colour scale using the colourscale argument (see examples). Otherwise the default is "gray" for grayscale images, "rgb" for colour. These expect values in [0..1], so the default is to rescale the data to [0..1]. If you wish to over-ride that behaviour, set rescale=FALSE.
## S3 method for class 'cimg' as.raster( x, frames, rescale = TRUE, colourscale = NULL, colorscale = NULL, col.na = rgb(0, 0, 0, 0), ... )
x |
an image (of class cimg) |
frames |
which frames to extract (in case depth > 1) |
rescale |
rescale so that pixel values are in [0,1]? (subtract min and divide by range). default TRUE |
colourscale |
a function that returns RGB values in hexadecimal |
colorscale |
same as above in American spelling |
col.na |
which colour to use for NA values, as R rgb code. The default is "rgb(0,0,0,0)", which corresponds to a fully transparent colour. |
... |
ignored |
a raster object
Simon Barthelme
plot.cimg, rasterImage
#A raster is a simple array of RGB values as.raster(boats) %>% str #By default as.raster rescales input values, so that: all.equal(as.raster(boats),as.raster(boats/2)) #TRUE #Setting rescale to FALSE changes that as.raster(boats,rescale=FALSE) %>% plot as.raster(boats/2,rescale=FALSE) %>% plot #For grayscale images, a colourmap should take a single value and #return an RGB code #Example: mapping grayscale value to saturation cscale <- function(v) hsv(.5,v,1) grayscale(boats) %>% as.raster(colourscale=cscale) %>% plot
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